On the error exponents of binary state discrimination with composite hypotheses
Mil\'an Mosonyi, Zsombor Szil\'agyi, Mih\'aly Weiner

TL;DR
This paper investigates the conditions under which error exponents in binary state discrimination with composite hypotheses are equal to divergence measures, revealing cases where equality fails, especially in infinite-dimensional or quantum settings.
Contribution
The paper provides explicit examples where the inequality between error exponents and divergences fails and proves conditions for equality across classical and quantum scenarios.
Findings
Equality may fail in infinite-dimensional classical systems with countably infinite hypotheses.
In quantum systems, strict inequality is generic for non-commuting states.
Explicit examples demonstrate the divergence-error exponent relationship varies with system properties.
Abstract
The trade-off between the two types of errors in binary state discrimination may be quantified in the asymptotics by various error exponents. In the case of simple i.i.d. hypotheses, each of these exponents is equal to a divergence (pseudo-distance) of the two states. In the case of composite hypotheses, represented by sets of states , one always has the inequality , where is the exponent, is the corresponding divergence, and the question is whether equality holds. The relation between the composite exponents and the worst pairwise exponents may be influenced by a number of factors: the type of exponents considered; whether the problem is classical or quantum; the cardinality and the geometric properties of the sets representing the hypotheses; and, on top of the above, possibly whether the underlying Hilbert space is…
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